An image capture device obtains first image data from a front facing camera on a front face of the device including a display. The first image data represents a subject within a field of view of the image capture device. Facial recognition is performed in response to the first image data from the front facing camera. The front image data is used for determining whether any subject is a priority subject, of whom at least one priority subject image-indicative data is accessible by the image capture device. A region of interest is selected, corresponding to the subject determined to be a priority subject. Automatic focus, automatic exposure, or automatic white balance is performed using the selected region of interest. Second image data from the front facing camera are captured based on the automatic focus, automatic exposure, or automatic white balance using the selected region of interest.
Legal claims defining the scope of protection, as filed with the USPTO.
2. The method of claim 1, wherein performing the facial recognition comprises detecting a face within the first image data.
5. The method of claim 4, wherein the neural network is trained to identify members of a predetermined set of priority subjects comprising the particular subject.
6. The method of claim 1, wherein processing the second image data includes capturing the second image data.
7. The method of claim 6, wherein the second image data is captured using at least one of an automatic focus, automatic exposure, or automatic white balance setting determined based, at least in part, on the selected region of interest.
9. The method of claim 1, wherein the region of interest includes each of the one or more subjects.
10. The method of claim 1, wherein selecting the region of interest comprises adjusting the region of interest to include the particular subject.
11. The method of claim 10, wherein the selecting further comprises adjusting the region of interest to exclude at least one of the one or more subjects.
13. The image capture device of claim 12, wherein the at least one processor is further configured to detect a face within the first image data.
16. The image capture device of claim 12, wherein the neural network is trained to identify members of a predetermined set of priority subjects comprising the particular subject.
17. The image capture device of claim 12, wherein the at least one processor is further configured to capture the second image data.
18. The image capture device of claim 17, wherein the at least one processor is further configured to capture the second image data using at least one of an automatic focus, automatic exposure, or automatic white balance setting determined based, at least in part, on the selected region of interest.
20. The image capture device of claim 12, wherein the region of interest includes each of the one or more subjects.
21. The image capture device of claim 12, wherein the at least one processor is further configured to adjust the region of interest to include the particular subject.
22. The image capture of claim 21, wherein the at least one processor is further configured to adjust the region of interest to exclude at least one of the one or more subjects.
24. The non-transitory computer-readable storage medium of claim 23 wherein processing the second image data comprises capturing the second image data using at least one of an automatic focus, automatic exposure, or automatic white balance setting determined based, at least in part, on the selected region of interest.
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April 8, 2021
October 11, 2022
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